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Diversity

Diversity in data sampling is crucial across various use cases, including search, recommendation systems, and more. Ensuring diverse samples means capturing a wide range of variations and perspectives, which leads to more robust, unbiased, and comprehensive models. In search use cases, for instance, diversity helps avoid redundancy, ensuring that users are exposed to a broader set of relevant information rather than repeated similar results.

Papers

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Showing 2201–2225 of 9051 papers

TitleStatusHype
CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake DetectionCode1
A DAFT Based Unified Waveform Design Framework for High-Mobility Communications—0
Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization—0
I4VGen: Image as Free Stepping Stone for Text-to-Video Generation—0
Linguistic Fingerprint in Transformer Models: How Language Variation Influences Parameter Selection in Irony Detection—0
Generating Synthetic Net Load Data with Physics-informed Diffusion Model—0
WEIRD ICWSM: How Western, Educated, Industrialized, Rich, and Democratic is Social Computing Research?—0
Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language ModelsCode1
Less is More: Pseudo-Label Filtering for Continual Test-Time AdaptationCode0
Insect Diversity Estimation in Polarimetric Lidar—0
Layout Agnostic Scene Text Image Synthesis with Diffusion Models—0
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization FunctionCode0
Mixture of Rationale: Multi-Modal Reasoning Mixture for Visual Question Answering—0
Automatic Fused Multimodal Deep Learning for Plant IdentificationCode0
Multipath Exploitation for Fluctuating Target Detection in RIS-Assisted ISAC Systems—0
Lasso Bandit with Compatibility Condition on Optimal Arm—0
Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion PriorCode1
Guiding and Diversifying LLM-Based Story Generation via Answer Set ProgrammingCode0
Image Captioning via Dynamic Path CustomizationCode0
Achieving Distributed MIMO Performance with Repeater-Assisted Cellular Massive MIMO—0
Dynamic Multi-Objective Lion Swarm Optimization with Multi-strategy Fusion: An application in 6R robot trajectory planning—0
Cyclic image generation using chaotic dynamicsCode0
Early Stopping Criteria for Training Generative Adversarial Networks in Biomedical Imaging—0
GenMix: Combining Generative and Mixture Data Augmentation for Medical Image Classification—0
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling—0
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